Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)
Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)

Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)

Manchester Full-Time 70000 - 80000 £ / year (est.) No home office possible
Loop Recruitment

At a Glance

  • Tasks: Architect and optimise AI-driven systems in a hybrid working environment.
  • Company: Leading insurance brand with a focus on innovation.
  • Benefits: Competitive salary up to £80,000, bonuses, and comprehensive benefits.
  • Other info: Exciting opportunity for career growth in a cutting-edge field.
  • Why this job: Join a dynamic team and shape the future of AI in insurance.
  • Qualifications: Strong experience with FastAPI, Celery, vector databases, and LLMs.

The predicted salary is between 70000 - 80000 £ per year.

A leading insurance brand is seeking a Senior AI Engineer to architect and optimize AI-driven systems in a hybrid working environment. This role involves designing scalable architectures and managing the AI lifecycle from ingestion to deployment.

Candidates should have strong experience with FastAPI, Celery, and vector databases, and a solid understanding of LLMs and prompt engineering.

The position offers a competitive salary up to £80,000 plus bonuses and comprehensive benefits.

Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester) employer: Loop Recruitment

Join a leading insurance brand that values innovation and collaboration in a hybrid working environment. With a competitive salary of up to £80,000 plus bonuses, comprehensive benefits, and a strong focus on employee growth, this company fosters a culture of continuous learning and development. Located in Manchester, you'll be part of a dynamic team dedicated to optimising AI-driven systems, making a meaningful impact in the industry.
Loop Recruitment

Contact Detail:

Loop Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your experience with FastAPI, Celery, and vector databases. This will help you stand out and demonstrate your expertise in AI-driven systems.

✨Tip Number 3

Ace the interview by practising common questions related to LLMs and prompt engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)

AI System Architecture
FastAPI
Celery
Vector Databases
LLMs (Large Language Models)
Prompt Engineering
AI Lifecycle Management
Scalable Architecture Design

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with FastAPI, Celery, and vector databases. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI systems and how your background makes you the perfect fit for our team. Let us know what excites you about this role!

Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in AI architecture or lifecycle management. We love seeing candidates who can think critically and innovate solutions!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Loop Recruitment

✨Know Your Tech Inside Out

Make sure you’re well-versed in FastAPI, Celery, and vector databases. Brush up on your knowledge of LLMs and prompt engineering too. Being able to discuss these technologies confidently will show that you’re the right fit for the role.

✨Showcase Your Architectural Skills

Prepare to talk about your experience designing scalable architectures. Have examples ready that demonstrate how you've optimised AI-driven systems in previous roles. This will help the interviewers see your practical experience in action.

✨Understand the AI Lifecycle

Familiarise yourself with the entire AI lifecycle from ingestion to deployment. Be ready to discuss how you’ve managed this process in past projects, as it’s crucial for the role. Highlight any challenges you faced and how you overcame them.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s current AI initiatives and future goals. This shows your genuine interest in the position and helps you gauge if the company aligns with your career aspirations.

Senior AI Systems Architect - RAG & LLM (Hybrid, Manchester)
Loop Recruitment
Location: Manchester

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